Triple

T12287459
Position Surface form Disambiguated ID Type / Status
Subject Mont Perdut E292865 entity
Predicate nearbySettlement P350 FINISHED
Object Bielsa E288726 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bielsa | Statement: [Mont Perdut, nearbySettlement, Bielsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bielsa
Context triple: [Mont Perdut, nearbySettlement, Bielsa]
  • A. Bielsa chosen
    Bielsa is a small mountain town in the Spanish Pyrenees, known as a gateway to the Ordesa y Monte Perdido National Park and for its traditional Aragonese culture.
  • B. Marcelo Bielsa
    Marcelo Bielsa is an influential Argentine football manager renowned for his high-intensity, attacking style and meticulous tactical approach.
  • C. Benítez
    Benítez is a Spanish surname most prominently associated with football manager Rafael Benítez, known for his successful coaching career in European club football.
  • D. Reinaldo Rueda
    Reinaldo Rueda is a Colombian football manager known for coaching several Latin American national teams and leading them to major international tournaments.
  • E. Rubén Sosa
    Rubén Sosa is a former Uruguayan forward renowned for his prolific goal-scoring and playmaking at both club level in Europe and with the Uruguay national team.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d1ffb208190a4b86d7d4ceee045 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7315608190963c714a0b128dbb completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.